Cloud computing has become buzzword today. It is a digital service where dynamically scalable and virtualized resources are provided as a service over internet. Task scheduling is premier research topic in cloud computing. It is always a challenging task to map variety of complex task on various available heterogenous resources in scalable and efficient way. The very objective of this paper is to dynamically optimize task scheduling at system level as well as user level. This paper relates benefit-fairness algorithm based on weighted-fair Queuing model which is much more efficient than simple priority queuing. In proposed algorithm, we have classified and grouped all tasks as deadline based and minimum cost based constraints and after dynamic optimization, priority of fairness is applied. Here different priority queue (high, mid, low) are implemented in round-robin fashion as per weights assign to them .We recompile the CloudSim and simulate the proposed algorithm and results of this algorithm is compared with sequential task scheduling and simple constraints (cost and deadline) based task scheduling algorithm. The experimental results indicates that proposed algorithm is, not only beneficial to user and service provider, but also provides better efficiency and fairness at priority level, i.e. benefit at system level.

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Vehicular Adhoc network has gained popular attention in last few years due to the provision of safety and comfort related applications.VANETs are direct offshoot of MANETs but with unique characteristics like high speed, dynamic changing topology and difficult communication environment. Due to these unique features ,routing in vehicular network has always been a challenging issue but besides efficient routing very less attention is being paid in the area of load balancing. So in this study, load optimization/management in VANET is focused and a new protocol LBV_AODV which is an extension of AODV is introduced and compared with AODV with new metric i.e. local delay which uses interface queue length. The comparison is done with varying vehicle mobility. The protocol is simulated on Ns2.34 and the performance analysis shows that the new protocol is better than AODV in terms of PDR and EED and PLR.Keywords-VANET,ns2,pdr,nrl,speed,aggregate interface queue length, end to end delay etc.

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Wireless sensor networks (WSN) offer great expertise that club the sensing, execution, communication, and network technology along with microelectronics and micro-mechanical devices together to study the environment. It is a new concept and a consequence of few steps in the communication field. If the original prospect of this new network works according to the planned concept, it will recover the examining and control systems used these days in the environment for consumer, medical, industries, and military sectors. The wireless technology gives the advantage of decrease in cost that cabling operation has in recent systems and also makes it possible to perform measurements in unreachable places. Many applications can work on the concept of this technology.